Special Issue on: "Applications of Intelligent Control and Nonlinear Dynamics"
Dr. Ahmad Taher Azar, Benha University, Egypt
Prof. Sundarapandian Vaidyanathan, Vel Tech University, India
Intelligent control describes a class of control techniques that use various artificial intelligence (AI) techniques such as neural network control, Bayesian control, fuzzy logic control, neuro-fuzzy control, expert systems, genetic control, evolutionary algorithms and intelligent agents. Intelligent control systems are very useful when no mathematical model is available a priori and intelligent control itself develops a system to be controlled. Intelligent control is inspired by the intelligence and genetics of living beings. This special issue will focus on various applications of intelligent control on nonlinear control systems including chaotic systems.
Chaos theory, which occupies a central place in modem nonlinear dynamics, refers to a deterministic development with chaotic outcomes. This theory deals with the behaviour of dynamical systems and maps that are highly sensitive to initial conditions. The sensitivity to initial conditions is usually called the butterfly effect for dynamical systems and maps. Chaotic systems can be observed in many natural systems such as weather and climate. Chaos theory has applications in several areas such as vibration control, electric circuits, chemical reactions, lasers, combustion engines, computers, cryptosystems, encryption, secure communications, biology, medicine, management, finance, etc. Chaotic behaviour can be studied through the analysis of a chaotic mathematical model (discrete or continuous).
This special issue aims at presenting the latest developments, trends, research solutions and applications of intelligent control and nonlinear dynamics with real-world applications. We invite researchers to contribute original research articles as well as review articles that will stimulate continuing efforts to improve the current state of art in the aforementioned fields.
The issue will carry revised and substantially extended versions of selected papers presented at the 5th International Conference on Control and Signal Processing (CSP2017), but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.
Suitable topics include, but are not limited, to the following:
- Adaptive feedforward control
- Applications of intelligent control
- Ant colony optimisation
- Artificial neural networks
- Bayesian networks
- Bee colony optimisation
- Cellular neural networks
- Control of chaotic systems
- Computational intelligence
- Expert systems
- Evolutionary computation and control
- Fault diagnosis
- Fuzzy logic control
- Genetic algorithms
- Intelligent control
- Iterative learning control (ILC)
- Machine learning
- Metaheuristic and swarm intelligence
- Nature-inspired optimisation methods
- Neuro-fuzzy control
- Particle swarm optimisation
- Optimal seek control
- Self-tuning and adaptive control
- Sliding mode control (SMC)
- Support vector machines
- Variable structure control (VSC)
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.
All papers must be submitted online. To submit a paper, please read our Submitting articles page.
If you have any queries concerning this special issue, please email Dr. Ahmad Taher Azar at firstname.lastname@example.org.
Submission of manuscripts: 30 December, 2017
Notification to authors: 28 February, 2018
Final versions due: 30 April, 2018